Head of Model Development and Validation

Head of Model Development and validation will be responsible for the development, maintenance and monitoring of all credit models. These will include but not limited to credit scoring models, collection models, stress testing, risk reward models and operational models. Additionally the role will encompass managing a team of specialist retail credit risk modelers who will perform strategic model development projects, provided with technical expertise whenever required.

1.Development and modeling of various models across portfolios and credit life cycle on a pre-determined frequency
•Applications Scorecards
•Behavioral Scorecards
•Impairment PD and LGD Model
•collections scoring
•Risk Reward models 
•Stress testing 
2.Required to support the development and maintenance of the Group's credit risk models, ensuring that they comply with the relevant regulations and are fit-for-purpose for use across the business. 
3.Develop and create model validation plans for credit risk models
4.Review model documentation, model inputs, assumptions, design, model algorithms/analytics, operation process, model governance and controls
5.Conduct model validation according to scheduled validation cycles, write model validation reports, identify model risk issues and recommendation, provide effective challenge on the fitness and use of the models
6.Assist in governance related activities in model issues tracking, monitoring and reporting
7.Maintain good working relationship with model stakeholders, adopt a proactive communication engagement with model owners for future business and model use
8.Stay abreast of changes in credit risk modelling related regulatory requirement

Qualifications: 
•Bachelors’ degree in quantitative fields (I.e. mathematics, statistics, finance, econometrics, computer science and information system)
Experience: 
•Experience specifically in credit scoring modelling, impairment models, profitability and collections modelling?
•Strong quantitative and analytical skills. Prior experience working in similar role in model risk management is preferred
•Extensive experience in leading cross functional projects within business and technology on system enhancement or process design or database design
•Expertise in data analytics techniques to turn data mining into meaningful insights for driving model risk management decisions
•Strong execution to deliver analytical solution in fast pacing and dynamic environment
•Strong interpersonal skills to establish partnership and to drive cross functional projects
•Programming skills (such as SAS, Excel, VBA, C++, Matlab, Python or R)
•Desire to work within a growing team and organization?
•Possession of clear thought and expression, both verbal and written, together with the ability to mix and converse freely with all levels of management. 
•The Job Holder should be professionally qualified and/or hold a tertiary qualification relevant to the job and will have had a minimum of 5years’ experience in the international credit modeling and Validation and/or related fields.

Knowledge of the following is an added advantage;
•Proven experience in modelling role.
•Previous experience interpreting technical documentation and producing written reports
•Machine Learning techniques and algorithms
•Predictive modelling and analytics
•Data mining techniques
•R or Python Programming
•Advance Statistical analytics
•Artificial Intelligence and Deep Learning
•Cognitive and Neural Learning techniques